We’re hiring for a market-leading edge computing startup that’s building AI infrastructure for remote and low-connectivity environments. Their mission is to power real-time, on-premise intelligence across industries like mining, agriculture, energy, and defense. They’re looking for experienced AI engineers who enjoy tackling real-world ML challenges at the edge. Location: Full-time Onsite – Thiruvananthapuram, Kerala You’ll be a good fit if: * You enjoy solving practical AI problems in real-time, low-latency settings * You can deploy ML models end-to-end – from training to production * You’ve worked with transformers, computer vision, or autonomous systems * You thrive in fast-paced, high-impact environments Key Responsibilities: * Build, train, and deploy ML models (transformers, CV) * Containerize and deploy models to production (cloud or edge) * Collaborate with internal teams and customers * Build datasets, pipelines, and benchmarking workflows * Implement transfer learning or online learning methods Required Skills: * Strong Python; experience with PyTorch or TensorFlow * 5+ years in ML or software engineering * Familiar with CNNs, transformers, BERT, GANs, etc. * Understanding of supervised, unsupervised, and transfer learning * Experience deploying models using containers or microservices Preferred: * Experience with real-time ML for robotics, drones, or control systems * Knowledge of on-device inference or model optimization * Exposure to Kubernetes or edge deployment setups * Clear communicator and team player Location: Thiruvananthapuram, Kerala (Onsite, Full-time)